科特迪瓦与南苏丹对比

科特迪瓦与南苏丹:热带夜

2014 年热带夜:科特迪瓦为 341.6 夜,南苏丹为 343.7 夜(CMIP6 气候模型中位数模拟)。 2014 年南苏丹的数值较高,高出 2.1 夜,是科特迪瓦的 1.01 倍。

每年夜数 · CMIP6

科特迪瓦与南苏丹:热带夜2014 年热带夜:科特迪瓦为 341.6 夜,南苏丹为 343.7 夜(CMIP6 气候模型中位数模拟)。 2014 年南苏丹的数值较高,高出 2.1 夜,是科特迪瓦的 1.01 倍。
科特迪瓦南苏丹CMIP6 模型中位数(SSP2-4.5,中间路径)模型第 10–90 百分位

数据解读

  • 自 2006 年超过科特迪瓦以来,南苏丹的数值一直更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年科特迪瓦为 359.6 夜,南苏丹为 361.1 夜。

逐年数据

每年夜数 · CMIP6

年份科特迪瓦南苏丹
2014341.6343.7
2013339.6342.1
2012342.3342.8
2011340.1343.3
2010338.6341.9
2009337.3338.8
2008337.1339.8
2007336.7336.9
2006336.6339
2005337.6336.8
2004334.8336.6
2003337.3338.9
2002336.1336.6
2001339.5338.7
2000334.6334.6
1999331.3331.8
1998332.7333.6
1997331.8334.5
1996329.9330.7
1995330.5329.6
1994327.9328.2
1993327.2321.9
1992322321.5
1991331.7329.1
1990334332.6
1989328.9329
1988327.5330.5
1987327.9328.8
1986329.2330.4
1985324.9327.1
1984325.8324.1
1983325.4322.8
1982324322.8
1981327329.9
1980323.1326.5
1979327.1325.3
1978324.2324.1
1977325.5325
1976321.7322.6
1975322.8320.8
1974322320.1
1973323.8325.4
1972322.4324.7
1971322319.9
1970322.2322.3
1969320.9318.5
1968319.8318.3
1967317.1315.6
1966318.4317.2
1965320316.5
1964314.7312.9
1963317.4309.8
1962324.1323.9
1961323.1323.3
1960325.5324.8
1959322.1321.5
1958322.4320.2
1957321.2322.1
1956321.2319.5
1955320.1317
1954325.6322.4
1953322.9321.6
1952319.4322.4
1951323.9323.9
1950317.8318.6
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份科特迪瓦南苏丹
2015339.1321.9–350.7342.7327.5–353.3
2016339.9324.6–349.1342.1325.1–351.1
2017340.5322.4–349.6344.5326.9–353.7
2018341.6327.4–351.6344.1324.9–353.7
2019338.5323.6–350.3344.5324–354.2
2020340.6324.2–352.9344.9326.9–355.6
2021340.8325.2–353.8347.3329.2–355.3
2022344327.2–353.4344.5326.1–355.5
2023341.2327.2–352.6347.2329.2–357
2024344.9331–353.9350.4331.6–357.9
2025342.4327.8–352.1347.1330.2–357.7
2026342.3326.6–353.3347.6329.5–356.7
2027343.9325.6–352.9346327.1–356.1
2028347.4333.6–355.5349.4333.5–357.3
2029347.2332.4–355.2348.6337.5–355.6
2030347.2332.1–353.8349.3335.5–357.2
2031349.3333.1–357.2351.3336.3–357.6
2032347.8331.5–356.9348.6333.6–357.7
2033348332.6–360.4350.8336.7–359.4
2034346.6331.7–355.8350.2337.5–358.3
2035348.9333.7–357.8352.3331–359.5
2036350.5332.7–359.1352340.8–359.1
2037349.8334.6–357.5351.9337.4–359.5
2038351.3338.9–358.2354.3341.9–359.6
2039350.6333.1–358.9353.8340.6–360
2040351.1336.2–359.6353.5338.7–360.2
2041350.8335.9–358353.2336.9–360.2
2042349.8337.3–358.6351.9336.9–360.3
2043348.4336.1–357.8353.2336.2–359.5
2044350.3337.5–359.2353.7339.9–361.1
2045351339.5–359.5353.7342.2–360.6
2046351.7337.6–358.6355.4342.2–361
2047352335.4–360.1355.7344–361.2
2048351.6339.9–360.3354.7342.5–361.6
2049353339.6–360.9356.7346.4–361.1
2050352340.6–359.3356.8345.6–361.7
2051353340.5–360.5356345.4–361.8
2052352339–359.8355.3343.8–362.2
2053352.7339–360.5355.5343.4–361.7
2054354.7339.5–360.9356.9345.2–362.1
2055353.4343.4–360.8356.9345–361.7
2056355.9339.6–362.8356.7345.7–363.1
2057356.3343–362358.4349.2–362.6
2058354.3344.5–361.3357.7345–361.8
2059355343.4–361.7358.6348.4–362.6
2060354.6343.3–362.1357.7344.7–363.8
2061354.6341.3–362.5358.2345.8–362.7
2062354.4340.8–361.3357.4345.2–363.1
2063355.4345.2–362.1358.8347.3–362.6
2064356.1344.6–362.9358.9348.4–363.3
2065355.5346.4–362.4359.1351.1–362.9
2066355.2344.5–361.2359.2350.6–363.1
2067355.3341.4–361.8358.6347.6–363.3
2068357.3346.3–363.6359.9350.3–364.4
2069355344.3–362.7357.6347–363.1
2070355.6344.2–362.3359.5350.4–363
2071356.8344.7–362.9359.6350.5–363.2
2072357.7346.2–363.1360.2348.4–364.2
2073356.6345.2–362.2359.3350.3–363.5
2074354.4342.1–362.7359.5348–363.3
2075356343.7–362.5359.9348.5–363.4
2076357.4348.5–363.3359.4350.5–364
2077358.1347.7–362.8359.9352.2–363.7
2078357.3346.8–363.2360351.2–363.4
2079357.4346.6–363.6359.8350.9–363.3
2080359.1349.4–364.7361.3349.8–364.6
2081358.8347.5–363.5360.4350.5–363.9
2082357346.9–363.4360.3351–363.3
2083357.8349.5–363.1360351.1–363.8
2084358.8349.3–363.4360.8350.8–364.9
2085359.7350.1–364361352.3–363.7
2086359347.7–363.8360.4352.5–364.1
2087358.8348.8–364.1359.7347.8–363.8
2088358347.4–363.7360.3352.2–364.7
2089357.4347.3–363.5360.2352.3–363.8
2090358.8346.1–363.9360.2351.3–363.9
2091358.3349.1–363.3360.9351.6–364.1
2092359.2347.5–364360.7352.4–364.7
2093359349.8–363.8361.6354.1–363.9
2094359.3350.1–363.1361.3353.8–364.3
2095358.1349.7–364361.5353.2–364
2096358.8348.3–365.1361.1352.8–365.1
2097358.9342.5–362.5360.7351.9–364.2
2098357.8348.1–363.6361.5352.6–364.1
2099359.2349.5–363.2361.2352.4–364.1
2100359.6348.3–363.8361.1352.6–364.2

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须知

  • 一年中气温始终高于 20 °C 的夜晚数,取全国平均。
  • 来源:World Bank Climate Change Knowledge Portal, CMIP6 multi-model median。
  • 虚线为CMIP6 模型中位数(SSP2-4.5,中间路径),是一种情景而非预报;阴影带为其模型第 10–90 百分位。
  • 气候模型值为 CMIP6 各模型的中位数:2014 年及以前按历史排放模拟,此后按中间路径 SSP2-4.5 模拟;它们并非实测数据。

各图层如何运作、数据从何而来,以及它们无法告诉你什么: 历年各国数据

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